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GLiNER

Generalist and Lightweight Model for Named Entity Recognition

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

35views this month

3.5k stars299 forksLast push Aug 10, 2026 Python Apache-2.0

Decision brief

GLiNER is ideal for extracting named entities from text with minimal computational resources.

Good fit when

When you need a lightweight solution for named entity recognition across various languages
For projects where resource efficiency and fast setup are critical

Avoid when

If high precision in niche specializations like medical terms or rare proper nouns is required
In scenarios demanding heavy customization beyond basic named entity recognition capabilities

Observed Jul 14, 2026 · Source: enrich:decision_facts

GLiNER alternatives Trust report

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Maintenance and security

Full trust report

Maintenance: Active (7d since push); As of Aug 18, 2026
Provenance: Not a fork · Personal account; As of Aug 18, 2026
Security (OSV): 30 low (30 low); As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install GLiNER

How it fits your stack(2)

Typed graph edges - alternatives, integrations, successors, and dependencies. Ranked by relationship type, not raw GitHub stars.

Integrates

GLiNER performs named entity recognition which can be integrated with langextract to extract structured information from unstructured text using LLMs.

Depends on

The repository focuses on NER, and huggingface's transformers is a widely used framework for implementing such models.

Relationship graph

Optional deeper exploration of typed edges and category neighbours.

Similar tools

Same-category neighbours not already linked as typed edges.

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

GLiNER is a Python library designed for extracting various entity types from texts using lightweight named entity recognition techniques.

Capability facts

Languages: python
Source: github.language+pyproject.toml · Aug 18, 2026

Categories

Data & Retrieval Model Training

Graph entities

Smolagentsframework

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Aug 18, 2026)

pip install gliner

Tags

information-extraction large-language-models named-entity-recognition natural language processing prompt-tuning

README

Installation With pip: With uv (faster): With serving support (Ray Serve):

For agents

This page has a .md twin and JSON over the API.

/tools/urchade-gliner.md GET /api/graphcanon/tools/urchade-gliner GET /api/graphcanon/graph?tool=urchade-gliner

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